scholarly journals Do Parenting and Family Characteristics Moderate the Relation between Peer Victimization and Antisocial Behavior? A 5-year Longitudinal Study

2015 ◽  
Vol 24 (4) ◽  
pp. 748-765 ◽  
Author(s):  
Grace S. Yang ◽  
Vonnie C. McLoyd
Keyword(s):  
Longitudinal Study ◽  
Antisocial Behavior ◽  
Peer Victimization ◽  
Family Characteristics

The role of sleep problems in the relationship between peer victimization and antisocial behavior: A five-year longitudinal study

2017 ◽  
Vol 173 ◽  
pp. 126-133 ◽  
Author(s):  
Ling-Yin Chang ◽  
Wen-Chi Wu ◽  
Chi-Chen Wu ◽  
Linen Nymphas Lin ◽  
Lee-Lan Yen ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Antisocial Behavior ◽  
Peer Victimization ◽  
Sleep Problems ◽  
The Relationship

Why victimized by peers promotes cyberbullying in college students? Testing a moderated mediation model in a three-wave longitudinal study

2020 ◽  
Author(s):  
Ming-Chen Zhang ◽  
Lin-Xin Wang ◽  
Kai Dou ◽  
Yue Liang
Keyword(s):  
College Students ◽  
Longitudinal Study ◽  
Peer Victimization ◽  
Moral Disengagement ◽  
Moderated Mediation ◽  
Mediation Model ◽  
Online Bullying ◽  
Chinese College Students ◽  
Moderated Mediation Model ◽  
High Level

Cyberbullying is a major youth social problem over the world and it has been associated with a variety of negative outcomes. However, few studies investigated how offline peer victimization affect cyberbullying and the potential relations between family factors and cyberbullying remains unknown. The current study addresses this gap in knowledge by examining the victimized by peers is associated with higher moral disengagement which further promotes college student’s bullying online. A three-wave longitudinal study, each wave spanning six months apart, was conducted in a sample of 521 Chinese college students (Mage = 22.45, SD = 4.44, 59.3% girls). Results of moderated mediation model shown that peer victimization at T1 predicted more cyberbullying at T3 through moral disengagement at T2, after controlling for demographic variables and cyberbullying at T1. T2 moral disengagement significantly mediating the association between T1 peer victimization and T3 cyberbullying. In addition, high level of negative parenting strengthened the effect of moral disengagement at T2 on cyberbullying at T3. The prevention and intervention for both offline and online bullying victimization are discussed.

scholarly journals Peer Victimization and Emotional Problems in Vietnamese Children: A Longitudinal Study

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Tuan Ba Vu ◽  
Katja Petry ◽  
Guy Bosmans
Keyword(s):  
Longitudinal Study ◽  
Peer Victimization ◽  
Middle Childhood ◽  
Emotional Problems ◽  
Primary Caregivers ◽  
Emotional Symptoms ◽  
Young Lives

This study aimed to test the hypothesis that peer victimization in middle childhood predicts emotional problems in adolescents. The sample consisted of 1,000 students administrated at age 8 (wave 1) who were followed for seven years (wave 2). The peer victimization measures included one item derived from Goodman’s Strength and Difficulties Questionnaire (SDQ) (wave 1) and nine other items developed by Young Lives’ researchers (wave 2). The emotional problems measure used in both waves is SDQ’s Emotional Symptoms Subscale. Primary caregivers reported these measures at wave 1 and the children themselves reported at wave 2. Results revealed that current emotional problems significantly mediate the link between peer victimization and later emotional problems.

scholarly journals The Relationship between Peer Victimization, Perceived Parental Support, Family Characteristics and Internalizing Symptoms. A Cross-Sectional Study

2018 ◽  
Vol 10 (1) ◽  
pp. 9-20
Author(s):  
Bachler Egon ◽  
Nickel Marius ◽  
Bachler Herbert
Keyword(s):  
Regression Model ◽  
Peer Victimization ◽  
Parental Support ◽  
Internalizing Symptoms ◽  
Protective Factor ◽  
Parental Behavior ◽  
Warning Signs ◽  
Family Characteristics ◽  
Cross Sectional ◽  
Perceived Parental Support

Background: Bullying and peer victimization are important, yet underestimated public health issues. Methods: Data were obtained in a sample of N=3454 children at the age of 12.6 (+/- 1.3) in Austria. 75% of the participants were not involved in bullying (uninvolved), 16% were victims, 4% bully/victims and 5% bullies. We applied a multivariate regression model relating to gender, established a classification into bullying and victimization, and investigated parental behavior, family characteristics, physical or mental illness of a parent, as well as internalizing symptoms of pupils. Results: Our data analysis demonstrated gender-related effects and the development of internalizing symptoms: Boys showed fewer internalizing symptoms than girls. Pupils with low perceived parental support displayed higher symptomatic scores. The variables of family break-up and parental health led to similar observations. Victims have an approximately 30% higher score on the internalizing scale than bullies and 60% higher scores than uninvolved. The results of the regression model indicated that these predictors explained 25% of the variance. Conclusion: School policies, teachers, parents, the media, school physicians, as well as GPs must recognize early warning signs of bullying and diligently assess risk behaviors. Early social support (by parents and teachers) is discussed as an important protective factor.

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